In this article, we will discuss gradio with its implementation. First, we will use it in finding the largest word in a sentence, and then we will implement it to predict the name of apparele.
While creating ML models, our end goal is the deployment that takes it to the production which can take input and give an output of business models. The easiest form of deployment would be a GUI (Graphical User Interface).
Gradio helps in building a web-based GUI in a few lines of code which is very handy for showing demonstrations of the model performance. It is fast, easy to set up, and ready to use and shareable as the public link which anyone can access remotely and parallelly run the model in your machine. Gradio works with all kinds of media- text, images, video, and audio. Apart from ML models, it can be used as normal python code embeddings.
Gradio is a customizable UI that is integrated with Tensorflow or Pytorch models. It is free and an open-source framework makes it readily available to anyone.
In this article, we will discuss gradio with its implementation. First, we will use it in finding the largest word in a sentence, and then we will implement it to predict the name of apparele
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